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Paediatric end-of-life care is challenging and requires a high level of professional expertise. It is important that healthcare teams have a thorough understanding of paediatric subspecialties and related knowledge of diseasespecific aspects of paediatric end-of-life care.

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R E S E A R C H A R T I C L E Open Access

Patterns of paediatric end-of-life care: a

chart review across different care settings

in Switzerland

Karin Zimmermann1,2,3*, Eva Cignacco1,4, Sandra Engberg5, Anne-Sylvie Ramelet6,7, Nicolas von der Weid8,

Katri Eskola1,9, Eva Bergstraesser3, on behalf of the PELICAN Consortium, Marc Ansari, Christoph Aebi, Reta Baer, Maja Beck Popovic, Vera Bernet, Pierluigi Brazzola, Hans Ulrich Bucher, Regula Buder, Sandra Cagnazzo,

Barbara Dinten, Anouk Dorsaz, Franz Elmer, Raquel Enriquez, Patricia Fahrni-Nater, Gabi Finkbeiner, Bernhard Frey, Urs Frey, Jeannette Greiner, Ralph-Ingo Hassink, Simone Keller, Oliver Kretschmar, Judith Kroell, Bernard Laubscher, Kurt Leibundgut, Reta Malaer, Andreas Meyer, Christoph Stuessi, Mathias Nelle, Thomas Neuhaus, Felix Niggli, Geneviève Perrenoud, Jean-Pierre Pfammatter, Barbara Plecko, Debora Rupf, Felix Sennhauser, Caroline Stade, Maja Steinlin, Lilian Stoffel, Karin Thomas, Christian Vonarburg, Rodo von Vigier, Bendicht Wagner,

Judith Wieland and Birgit Wernz

Abstract

Background: Paediatric end-of-life care is challenging and requires a high level of professional expertise It is important that healthcare teams have a thorough understanding of paediatric subspecialties and related knowledge of disease-specific aspects of paediatric end-of-life care The aim of this study was to comprehensively describe, explore and

compare current practices in paediatric end-of-life care in four distinct diagnostic groups across healthcare settings including all relevant levels of healthcare providers in Switzerland

Methods: In this nationwide retrospective chart review study, data from paediatric patients who died in the years 2011 or

2012 due to a cardiac, neurological or oncological condition, or during the neonatal period were collected in 13 hospitals, two long-term institutions and 10 community-based healthcare service providers throughout Switzerland

Results: Ninety-three (62%) of the 149 reviewed patients died in intensive care units, 78 (84%) of them following withdrawal of life-sustaining treatment Reliance on invasive medical interventions was prevalent, and the use of medication was high, with a median count of 12 different drugs during the last week of life Patients experienced

an average number of 6.42 symptoms The prevalence of various types of symptoms differed significantly among the four diagnostic groups Overall, our study patients stayed in the hospital for a median of six days during their last four weeks of life Seventy-two patients (48%) stayed at home for at least one day and only half of those received community-based healthcare

(Continued on next page)

* Correspondence: karin.zimmermann@unibas.ch

1

Department Public Health (DPH), Nursing Science, University of Basel,

Bernoullistrasse 28, 4056 Basel, Switzerland

2 Paediatric Palliative Care, University Children ’s Hospital Zurich, Children’s

Research Center CRC, Steinwiesstrasse 75, 8032 Zurich, Switzerland

Full list of author information is available at the end of the article

© The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made The Creative Commons Public Domain Dedication waiver

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(Continued from previous page)

Conclusions: The study provides a wide-ranging overview of current end-of-life care practices in a real-life setting of different healthcare providers The inclusion of patients with all major diagnoses leading to disease- and prematurity-related childhood deaths, as well as comparisons across the diagnostic groups, provides additional insight and

understanding for healthcare professionals The provision of specialised palliative and end-of-life care services in

Switzerland, including the capacity of community healthcare services, need to be expanded to meet the specific needs

of seriously ill children and their families

Keywords: End-of-life care, Terminal care, Paediatrics, Neonatology, Child, Practice patterns, Retrospective studies

Background

Despite continued advancements in medical care and

improved (expected) survival, infant and childhood

deaths due to complex chronic conditions (CCC) or

pre-maturity are inevitable [1] Deaths during the first year

of life constitute approximately 50% of disease-related

infant and childhood deaths in developed countries, the

causes of which include perinatal complications,

prema-turity, or congenital anomalies [2, 3] Beyond the age of

one year, the three most common life-limiting CCCs are

neurological/neuromuscular and cardiovascular

condi-tions (including genetic disorders), and malignancies [4,

5] The majority of disease- and prematurity-related

deaths occur in hospitals, [6, 7], and for children dying

at home, hospital use in their terminal stage is high [1,

4] Symptom burden and reliance on medical technology

has been reported to be considerable [3, 8]

Circum-stances and characteristics of deaths, however, are

known to vary by age and medical conditions [1,4]

Paediatric palliative care (PPC) emerged as a medical

subspecialty aimed at meeting the specific needs of

ser-iously ill children and their families According to the

World Health Organization (WHO)“palliative care is an

approach that improves the quality of life of patients and

their families facing the problem associated with

life-threatening illness, through the prevention and relief of

suffering by means of early identification and impeccable

assessment and treatment of pain and other problems,

physical, psychosocial and spiritual” [9] More

specific-ally and as part of palliative care, the term end-of-life

(EOL) care refers to care when death is imminent [10]

Meeting the needs of affected children and their families

requires a wide-ranging and integrative approach from a

compassionate and skilled multidisciplinary team [11]

PPC and EOL care should be provided in all settings

where it is required [12]; although, specialised PPC

teams are mostly hospital based [13] A thorough

under-standing of paediatric subspecialties and related

know-ledge of disease-specific aspects of paediatric EOL are

needed This understanding should go beyond the

hori-zon of a single hospital and take into account the

heterogeneous settings where care can be provided

(tertiary settings, general hospitals, paediatric primary

care and in the community) There is not much evidence

on which to base best practice, and most existing studies focus on specific diagnostic groups or specific care set-tings [1,14,15] It was therefore the aim of this national study to comprehensively describe, explore and compare current practices in paediatric EOL care in four distinct diagnostic groups (cardiology, neonatology, neurology and oncology) across healthcare settings including all relevant levels of healthcare providers in Switzerland

Methods Study design

This retrospective chart review was part of PELICAN (Paediatric End-of-LIfe-CAre Needs in Switzerland), a na-tionwide study “to provide comprehensive information and to understand the current practice of EOL care (i.e in this study and similar to other studies, the last 4 weeks of life prior to death [16]) in paediatric settings in Switzerland (hospital and community care) and to explore and describe parental perspectives and the perspectives of the healthcare professionals involved” [17] Human Research Ethics Committees from the 11 Swiss cantons in which the study took place approved the PELICAN study Parents who had lost a child due to a cardiac, neurological

or oncological condition or during the neonatal period (independent of the underlying condition) in the years

2011 and 2012 were invited to participate Neonates <

24 h of life and patients > 18 years were excluded Information on how, where and when recruitment took place is described in detail elsewhere [18]

Setting and data collection

Data from all eligible patients, whose parents had consented to the review of their child’s medical chart, were collected in 13 hospitals, 2 institutions and 10 community-based healthcare service providers through-out Switzerland Among the 13 hospitals, there were 5 tertiary paediatric centres, 4 dedicated children’s hospitals, 3 general hospitals with paediatric units and 1 tertiary care centre with a neonatal intensive care unit

A multiprofessional PPC team was available in two ter-tiary paediatric centres and one dedicated children’s hos-pital; no paediatric hospices exist in Switzerland

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Data collection was conducted mainly by the first

au-thor, who also developed the coding manual and all case

report forms as well as instructing and supervising five

assistants, who supported data collection [19] The

coding manual was developed within the PELICAN

study group [17] and pilot tested with 10 children who

were treated in 5 different hospitals and died in the year

2010 In accordance with this study’s definition of EOL

care as care during the last four weeks of life, data

collection was restricted to the 28 days prior to the

child’s death All extracted data was entered into

secu-Trial®, a browser-based electronic data capture system

(InterActive Systems, Berlin, Germany) During the first

two months of data collection, 5 % of the medical

re-cords reviewed by one of the five assistants were

randomly selected and audited by KZ by performing a

dual review Any data entry discrepancies were checked

for its nature of assessment error No systemic data

entry errors were detected There were very few data

entry discrepancies and those that occurred were almost

always related to mixed documentation quality in the

medical records that left room for interpretation, e.g.,

change of do-not-resuscitate (DNR) order Emerging

questions around those inconsistencies were

continu-ously discussed among data collectors Variable

instruc-tions in the manual were revised as needed to ensure

the quality of ongoing data extraction and reduce the

likelihood of inter-rater discrepancies [19]

Variables

The following data were collected for this study: (1)

demographics (age, gender); (2) diagnostic information

(the underlying diagnosis primarily responsible for the

patient’s death, gestational age for newborns only, time

since diagnosis, and whether the diagnosis was made

prenatally); (3) circumstances of death (place of death,

occurrence of resuscitation, existence of DNR orders

and whether these orders changed during the last four

weeks of life, and treatment withdrawal); (4)

interven-tions (at least once during the last four weeks of life,

Yes-No: anaesthesia, e.g., surgery, imaging; ventilation;

central access device; enteral feeds) and medications

(number and types of medications were recorded only

for the last two weeks of life to reduce the time burden

related to reviewing the medical records); (5) symptoms

(presence of various symptoms); (6) hospital and

community healthcare utilisation (hospital days and

ad-missions, days spent at home, number of days and

hours, and types of care provided by community

services) We also assessed whether the treatment

ap-proach was documented as palliative care and whether

this approach changed during the last four weeks of life

A diagnostic chapter and code from the International

Statistical Classification of Diseases and Related Health

Problems (ICD), 10th Revision, online version 2016 [20] was assigned to each patient, based on the exact diag-nostic information extracted from the patient’s last med-ical report Coding was done by two independent appraisers to establish reliability and any discrepancies were discussed until there was consensus about the diagnosis All symptoms documented in the patient’s chart were recorded during data collection The ones most frequently reported were grouped into 20 symp-toms categories, based on sympsymp-toms most frequently reported in the literature [8, 14, 21] Symptoms that affected similar areas, e.g spasticity/dystonia for muscu-lar impairments, or agitation/irritability for behavioural problems, were grouped

Statistical analysis

Descriptive statistics (measures of central tendency and dispersion, frequencies and percentages) were used to explore and summarize all variables A binary logistic model with likelihood ratio statistics was utilised for two-tailed comparisons between the diagnostic groups

of variables with a binominal response (Yes – No) For count outcome variables, negative binomial regression was utilised to adjust for overdispersion [22] For vari-ables with a categorical response, equivalence of propor-tions between diagnostic groups was tested in contingency tables using the Pearson’s chi-square test or Fisher’s exact test when cell sizes were < 5 No measures

of missing value replacement were pursued Due to the multiple comparisons performed, we set a conservative p-value of < 0.001 to indicate statistical significance Stat-istical analyses were performed using IBM© SPSS© Sta-tistics 21 for Mac® (IBM Corp, Armonk, NY, USA)

Results

Of the 307 eligible families, 267 could be contacted and were invited to participate in the PELICAN study Of those, 147 families (55%) consented Two families lost twins resulting in a study sample of 149 neonates, children and adolescents (Table1) With neonates com-prising 38% of the sample, the median age at death was 0.5 years for the entire sample but substantially higher (Mdn = 8.4, range = 1.7 -17.4 years) for the oncology group The neonates' median age was 5 days (range = 1 -26) and substantially lower than age in the other diag-nostic groups (Table 1) Seven ICD-10 diagnostic chap-ters were represented in our four groups’ categorisation, with the highest variety found within the neurology group The median time between diagnosis of the life-limiting CCC (made after birth) and death for the total sample was one month (interquartile range [IQR], 0 – 6) Within the four groups, the median time between diagnosis and death was longest for the neurology group (Mdn = 6 months, IQR = 3 – 29) Diagnoses made

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prenatally, were significantly more frequent in the

cardi-ology group compared to the other groups (p = < 0.001)

and not present in the oncology group Information

re-lated to gestational age was missing for 5 neonates

(8.8%) and information related to diagnoses made

pre-natally for 2 patients (1.3%) (Table1)

Place and circumstances of death

Ninety-three patients (62%) died in an intensive care

unit (ICU), with the highest proportion of ICU deaths

occurring in the neonatology group (Table2)

Twenty-f-ive patients (17%) died at home, with the highest

proportion of home deaths occurring in the oncology

group Twenty-six patients (17%) received

cardiopulmo-nary resuscitation (CPR) within 24 h before death,

despite 15 patients (17%, n = 147) had a documented DNR order A DNR order was documented in 91 pa-tients’ charts (62%) Of those, 51 patients (57%) had a change of the DNR order within the last four weeks of life This change occurred most frequently in the neo-natology group (Table 2), often within hours before the child’s death For 78 patients (84%) of the 93 who died

in an ICU, death was preceded by a decision to withdraw life-sustaining interventions

Interventions, medication and symptoms

Patients underwent several interventions, suffered from

a variety of symptoms, and received a considerable amount of medication, as documented in their charts This information is detailed in Table 3 and Fig 1 Fif-ty-one patients (34%) received anaesthesia at least once

Table 1 Demographic and diagnostic patient characteristics

N = 149 (100%)

Cardiology

n = 19 (13%)

Neonatology

n = 57 (38%)

Neurology

n = 36 (24%)

Oncology

n = 37 (25%) Age at death, Mdn (range)

Gender, n (%)

ICD-10 chapter, description, n (%)

Time since diagnosisd

Na Not applicable, ICD-10 International Classification of Diseases, 10th Revision

a

Aplastic anaemia

b

Stroke included

c

Information was missing for some cases

d

Calculated from date of birth, even if diagnosis was suspected prenatally

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during their last four weeks of life, some patients more

than once and for different interventions The most

commonly documented interventions requiring

anaes-thesia were surgical interventions in 28 patients (55% of

the 51 patients who received anaesthesia) and diagnostic

procedures, e.g imaging in 27 patients (53%) The

over-all median and mean number of medications with orders

for standard daily doses and as-needed orders rose from

9 (range = 0 - 42), 12 (SD = 9.20) respectively during the

second-to-last week to 12 (range = 1 – 46), 14 (SD =

9.15) respectively during the last week For 133 patients

(89%) the last treatment approach was documented as

palliative The approach changed from curative to

pallia-tive during the last month in 88 patients (59%), most

commonly in the neonatology group and least

com-monly in the oncology group (90% vs 32%, p = < 0.001)

Information was missing for six variables related to

in-terventions and medication and ranged between 0.7%

and 2.7% (Table3)

Pain was the most frequently documented symptom,

and occurred in 110 patients (78%, N = 141), with no

significant differences between the diagnostic groups

One hundred and forty patients (95%, N = 148) received

some pain medication, most commonly opioids (93%),

followed by paracetamol (67%) Other common

symptoms included breathing problems (n = 107, 72%),

followed by behavioural problems such as agitation or

irritability (n = 89, 60%) Some symptoms, such as

respiratory secretion, fever, nausea/vomiting, coughing,

sweating, fatigue, drowsiness, anxiety (including worry and sadness), and poor appetite, differed significantly (p = < 0.001) between the diagnostic groups (Figure 1) Overall, an average of 6.42 (SD = 3.14) symptoms were recorded per patient Significantly fewer symptoms were reported in neonates (M = 4.39, SD = 2.15) com-pared to all other groups (p = < 0.001)

Hospital and community healthcare utilisation

Overall, our study patients stayed in the hospital for a me-dian of six days (IQR = 2– 19) during their last four weeks

of life, with the highest number of hospital days for pa-tients in the cardiology group (Table4) Nineteen patients (13%) had no hospital days: 11 of them (58%) from the on-cology group, 5 (26%) from the neurology group, 3 (16%) from the cardiology group, and none from the neonat-ology group Among the 130 patients who had at least one hospital day, 62 patients (48%) had one hospital sion, 10 patients (8%), and 2 patients (1%) had 3 admis-sions during the last four weeks of life Fifty-six patients (43%) had zero hospital admissions, meaning that those patients were hospitalised at the beginning of data collec-tion and remained there until their death or discharge Of the 57 patients in the neonatology group, 23 patients (40%) were born in a hospital with no ICU and had to be transferred to a referral tertiary hospital with an ICU Pa-tients from the other diagnostic groups were most com-monly admitted from home (Table4)

Table 2 Place and circumstances of death

Total

N = 149 (100%)

Cardiology

n = 19 (13%)

Neonatology

n = 57 (38%)

Neurology

n = 36 (24%)

Oncology

n = 37 (25%)

p-value

CPRb

DNR order

DNR order change within the last four weeks of life

PICU Paediatric intensive care unit, NICU Neonatal intensive care unit, CPR Cardiopulmonary resuscitation, DNR Do not resuscitate

a

Across the four groups, based on Fisher ’s exact test

b

Within 24 h before death

c

Across the four groups, based on likelihood ratio chi-square

d

Only applies to patients who died in an intensive care unit

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Seventy-two patients (48%) stayed at home for at least

one day, with patients from the oncology group having

the highest number of home days (Mdn = 24, IQR = 4

-28), followed by patients from the neurology group (Mdn

= 21, IQR = 4 - 26) Of the 72 patients who stayed at home,

36 (50%) received professional care from a

community-based service The provision of education and support to

empower the family was the most commonly provided

service, as documented by the care provider, and patients

from the neurology group received more care hours than

patients from the other groups (Table4)

Discussion

There are several principal findings in this nationwide

study examining patterns of care at EOL in four distinct

diagnostic groups: patients had a variety of primary

diag-noses, covering seven different ICD-10 diagnostic

chapters; 62% of all patients died in ICUs, with 84% of

them following a decision to withdraw life-sustaining

treatment; reliance on invasive medical interventions was

prevalent and patients were exposed to multiple

medica-tions; patients experienced many symptoms with an

average of six symptoms per patient; finally,

community-based health care services were involved in only half of

the cases of the 72 patients (48%) of patients who spent time at home during their last four weeks of life

Strengths and limitations

The study provides a wide-ranging overview of current EOL care practices in a heterogeneous real-life setting of hospitals, long-term institutions and community health-care organisations The inclusion of patients with all major diagnoses leading to disease- and prematurity-related infant and childhood deaths, as well as compari-sons across the diagnostic groups, provides additional insight and understanding for healthcare professionals Previous studies in this field have frequently been limited to the hospital setting [1,3] or to a specific diag-nostic group [8, 14, 15] Our study is limited by its cross-sectional, primarily descriptive design incorporat-ing a retrospective chart review This approach does not allow conclusions to be drawn about care quality and quality of life at the EOL Generalisability is further lim-ited by the way that EOL care is often delivered in Switzerland Specialised PC/EOL care was offered in only 3 of the 13 hospitals where data were collected, and

no children’s hospices exist in Switzerland The study’s definition of EOL care as the last four weeks of life is

Table 3 Interventions and medications during the last four weeks of life

Total

N = 149 (100%)

Cardiology

n = 19 (13%)

Neonatology

n = 57 (38%)

Neurology

n = 36 (24%)

Oncology

n = 37 (25%)

p-value

Mechanical ventilation

ECMO

ECMO Extracorporeal membrane oxygenation, CAD Central access device, either venous or arterial

a

Information was missing for some cases

b

Across the four groups, based on likelihood ratio chi-square

c

Includes both standing daily dosages and as-needed orders

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somehow artificial, yet was justified by the literature,

ex-perts’ opinion and feasibility constraints The study,

therefore, provides insight in paediatric EOL care in a

limited time frame, not necessarily covering all aspects

of EOL care across a broader time period Known

reli-ability issues related to chart reviews were kept to a

minimum by utilising established and appropriate

mea-sures, resulting in few discrepancies in the data

col-lected However, the mixed quality of documentation

among healthcare personnel, resulting in incomplete or

missing data independent of data collection quality still

limits the study’s reliability [19] The comparisons

be-tween the four major diagnostic groups highlight

elements that warrant discussion

Medication and symptoms

Medication counts in our study were high, with an overall

mean of 14 drugs or as-needed medication orders during

the last week of life This number is higher than the

re-ported average of 9 drugs in a study involving 515

paediat-ric patients with a similar diagnostic profile receiving PPC

[3] A similar average number of 13.9 (SD = 8.9) of medi-cations used in the last week of life was reported in a study

of 30 children dying in an Australian hospital in 2001 Two thirds of the 30 children died in the ICU, which might have influenced the high numbers found in this study [23] We found that the medication count increased from the second-to-last week to the last week of life Thus,

it seems that the intensity of medical treatment increases

as the child nears death, a phase which is accompanied by

a greater need for pharmacological interventions, espe-cially for relieving pain, based on our clinical experience The high number of medications in the cardiology group was often due to the frequent need for CPR and a high prevalence of surgical interventions, which are also de-scribed in other studies with cardiology patients [15, 21] Although not perfectly comparable, symptom type and prevalence differed from the aforementioned study of 515 patients receiving PPC, in which pain was only the sixth most frequent symptom extracted from patients’ charts [3] However, pain has been reported to be the most fre-quent symptom in other studies with various paediatric cohorts in PC or EOL care [8, 14] Our study adds to existing knowledge by demonstrating that symptom prevalence is dependent on the underlying CCC and that

it can differ considerably

Hospital and community healthcare utilisation

Most patients (n = 130) stayed at least one day in hospital during their last four weeks of life Of those, 62 patients (48%) had at least one hospital admission and 10 patients (8%) had more than one admission This is a lower per-centage than reported in a recent North American study about trends in high-intensity EOL care among children with cancer [24] In this population-based study with a co-hort of 815 children diagnosed with cancer who died between 2000 and 2012, 143 patients (17.6%) of the pa-tients had more than one hospital admission within

30 days of death Compared with our oncology sub-group (n = 37), twenty-six patients stayed at least one day in hos-pital and 3 (11%) of them had more than one admission during their last four weeks of life

Slightly less than 50% of our study’s patients were at home at some point during their last four weeks of life Naturally, this was the case for very few neonates In light of the probably growing rate of prenatal diagnosis

of a life-limiting CCC, early initiation of PPC may allow better planning and implementation of specialised care services at home [25] Perinatal palliative care is an even younger specialty than PPC [25] and was not integrated

in the three PPC programmes in Switzerland A recent survey about the provision of services showed that perinatal palliative care programmes in the US were based in academic medical centres, regional and local hospitals, or community based hospitals [26] Back in

Fig 1 Symptom prevalence and comparison between the four diagnostic

groups ** = p-value < 0.001 based on a negative binomial regression

model.aAdjusted for mechanical ventilation.bAdjusted for enteral feeds.

c

Neonatology group excluded due to 0% of symptom presence

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2013, Feudtner et al [13] showed however, that only

54% of hospital-based PPC programmes provided

pre-natal consultation [13]

Only half of the patients who spent time at home

re-ceived community-based healthcare services Recent

data from Germany and the US show that the

coordin-ation and provision of specialised palliative home care

can alleviate caregivers’ distress and burden [27], and

improve both the child’s [28] and the caregivers’ quality

of life [27] As reported by our study, community

nurs-ing care encompasses a range of service types The high

level of coordination with the leading team in the

hos-pital and the expertise required makes it especially

chal-lenging Subgroup analysis of our study’s at-home

population targeting facilitators for and barriers to EOL

care in the home setting has been performed and is

published elsewhere [29]

Implications

PPC is growing internationally and the provision of

con-sultation by a hospital-based multiprofessional PPC team

seems to be the favoured model of care [13] There is some evidence suggesting that PPC programmes provid-ing specialised services may reduce healthcare resource utilisation by reducing hospital admissions, shortening hospital stays, and lessening aggressive care to prolong life [30] Additionally, provision of hospital-based specia-lised PPC may shift and extend the care setting beyond the hospital [30] In order to provide good quality EOL care a high level of expertise with a good understanding

of the different illness trajectories, and efficient collabor-ation across a variety of paediatric subspecialties is re-quired Outcome measurement has to be introduced into practice and prospective studies are needed to evaluate meaningful family-oriented clinical outcomes, quality of care, and the impact of specialised PPC to advance clinical practice and research in the field [30,31]

Conclusions

Swiss paediatric patients, similar to what is reported from other countries, experience high-intensity EOL care with invasive interventions, high medication counts

Table 4 Hospital and community healthcare utilisation during the last four weeks of life

Total

N = 149 (100%)

Cardiology

n = 19 (13%)

Neonatology

n = 57 (38%)

Neurology

n = 36 (24%)

Oncology

n = 37 (25%)

p-value

Type of community care service

NA Not applicable

a

Across the four groups, based on likelihood ratio chi-square

b

Representing the cumulative hospital admissions in all patients

c

No significance testing conducted due to small numbers

d

Consisting of nurses, most of them specialised in paediatric and/or community nursing

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and high symptom prevalence Transitions between the

inpatient and the home care setting were experienced by

most patients outside the neonatology group

Profes-sional home care was only utilised by half of the

pa-tients/families The provision of specialised palliative

and EOL care services, including the capacity of

com-munity healthcare services were limited There is

there-fore a need for PPC services to be expanded to meet the

specific needs of seriously ill children and their families

in Switzerland

Abbreviations

CCC: Complex chronic conditions; CPR: Cardiopulmonary resuscitation;

DNR: Do not resuscitate; EOL: End-of-life; ICD: International Statistical

Classification of Diseases and Related Health Problems; ICU: Intensive care

unit; IQR: Interquartile range; PELICAN: Paediatric End-of-LIfe CAre Needs;

PPC: Paediatric palliative care

Acknowledgements

We would like to thank Anouk Dorsaz, Marie-Madeleine Minder, Simone

Keller, and Judith Wieland for their invaluable contribution in collecting the

large amount of data We also thank Heather Murray for her language editing.

The authors wish to express their special thanks to all the members of the

PELICAN Consortium who supported and facilitated the study conduction in all

participating institutions: Marc Ansari; Christoph Aebi; Reta Baer; Maja Beck

Popovic; Vera Bernet; Pierluigi Brazzola; Hans Ulrich Bucher; Regula Buder;

Sandra Cagnazzo; Barbara Dinten; Anouk Dorsaz; Franz Elmer; Raquel Enriquez;

Patricia Fahrni-Nater; Gabi Finkbeiner; Bernhard Frey; Urs Frey; Jeannette Greiner;

Ralph-Ingo Hassink; Simone Keller; Oliver Kretschmar; Judith Kroell; Bernard

Laubscher; Kurt Leibundgut; Reta Malaer; Andreas Meyer; Christoph Stuessi;

Mathias Nelle; Thomas Neuhaus; Felix Niggli; Geneviève Perrenoud; Jean-Pierre

Pfammatter; Barbara Plecko; Debora Rupf; Felix Sennhauser; Caroline Stade; Maja

Steinlin; Lilian Stoffel; Karin Thomas; Christian Vonarburg; Rodo von Vigier;

Bendicht Wagner; Judith Wieland; Birgit Wernz.

Funding

The research received funding from the following sponsors: The Swiss Cancer

League / Swiss Cancer Research; Nursing Science Foundation, Basel, Switzerland;

Federal Office of Public Health, Switzerland; Start Stipend Award, PhD Program in

Health Sciences, Faculty of Medicine, University of Basel, Switzerland.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly

available due to ongoing subanalyses but are available from the corresponding

author on reasonable request.

Authors ’ contributions

EC and EB designed the study KZ elaborated the methodology, conducted

the study, under the guidance of EC and EB, had full access to the data and

performed the statistical analysis, and wrote the manuscript KZ, KE and AS were

involved in recruitment processes and data collection All authors, including SE

and NW, contributed to the interpretation of results, revised the manuscript

critically and approved the final version.

Ethics approval and consent to participate

Human Research Ethics Committees from the 11 Swiss cantons in which the

study took place approved the PELICAN study (leading committee: Kantonale

Ethikkommission Zürich, KEK ZH Nr 2012-0537) Parents of eligible deceased

children were informed and invited to participate in the study by the former

treating team, who also acted as gatekeeper as needed Participation was entirely

voluntary and written informed consent was obtained from all participants.

Consent for publication

Not applicable.

Competing interests

Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author details

1 Department Public Health (DPH), Nursing Science, University of Basel, Bernoullistrasse 28, 4056 Basel, Switzerland 2 Paediatric Palliative Care, University Children ’s Hospital Zurich, Children’s Research Center CRC, Steinwiesstrasse 75, 8032 Zurich, Switzerland 3 Department of Pediatrics, Inselspital Bern University Hospital, Bern, Switzerland 4 Health Division, University of Applied Sciences Bern, Bern, Switzerland 5 School of Nursing, University of Pittsburgh, 3500 Victoria Street, Pittsburgh, PA 15261, USA.

6 Institute of Higher Education and Research in Healthcare – IUFRS, University

of Lausanne, Route de la Corniche 10, 1010 Lausanne, Switzerland 7 Nurse Research Consultant, Department of Woman-Mother-Child, Lausanne University Hospital CHUV, Lausanne, Switzerland.8Paediatric Haematology-Oncology, University Children ’s Hospital UKBB, Spitalstrasse 33,

4056 Basel, Switzerland 9 Triemli Hospital Zurich, Zurich, Switzerland Received: 19 October 2016 Accepted: 29 January 2018

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